reviewScienceNov 10, 2005Closed access

Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology

VGVolker GrimmEREloy RevillaUBUta BergerFJFlorian JeltschWMWolf M. Mooij

University of Potsdam · Leibniz Centre for Tropical Marine Research · +3 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

Agent-based complex systems are dynamic networks of many interacting agents; examples include ecosystems, financial markets, and cities. The search for general principles underlying the internal organization of such systems often uses bottom-up simulation models such as cellular automata and agent-based models. No general framework for designing, testing, and analyzing bottom-up models has yet been established, but recent advances in ecological modeling have come together in a general strategy we call pattern-oriented modeling. This strategy provides a unifying framework for decoding the internal organization of agent-based complex systems and may lead toward unifying algorithmic theories of the relation…

Citation impact

2,166
total citations
FWCI
203.63
Percentile
100%
References
47
Citations per year

Authors

10

Topics & keywords

Topics
Keywords
  • Cellular automaton
  • Computer science
  • Complex adaptive system
  • Complex system
  • Ecology
  • Management science
  • Cognitive science
  • Data science
UN Sustainable Development Goals
  • Life in Land
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